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The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents

Edwards, Clementine J; Owrid, Oliver; Miller, Lucy; Jafari, Hassan; Emsley, Richard; Rus-Calafell, Mar; Craig, Thomas KJ; ... Ward, Thomas; + view all (2023) The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents. Frontiers in Psychiatry , 14 , Article 1192655. 10.3389/fpsyt.2023.1192655. Green open access

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Abstract

Aim: There is growing interest in tailoring psychological interventions for distressing voices and a need for reliable tools to assess phenomenological features which might influence treatment response. This study examines the reliability and internal consistency of the Voice Characterisation Checklist (VoCC), a novel 10-item tool which assesses degree of voice characterisation, identified as relevant to a new wave of relational approaches. Methods: The sample comprised participants experiencing distressing voices, recruited at baseline on the AVATAR2 trial between January 2021 and July 2022 (n = 170). Inter-rater reliability (IRR) and internal consistency analyses (Cronbach’s alpha) were conducted. Results: The majority of participants reported some degree of voice personification (94%) with high endorsement of voices as distinct auditory experiences (87%) with basic attributes of gender and age (82%). While most identified a voice intention (75%) and personality (76%), attribution of mental states (35%) to the voice (‘What are they thinking?’) and a known historical relationship (36%) were less common. The internal consistency of the VoCC was acceptable (10 items, α = 0.71). IRR analysis indicated acceptable to excellent reliability at the item-level for 9/10 items and moderate agreement between raters’ global (binary) classification of more vs. less highly characterised voices, κ = 0.549 (95% CI, 0.240–0.859), p < 0.05. Conclusion: The VoCC is a reliable and internally consistent tool for assessing voice characterisation and will be used to test whether voice characterisation moderates treatment outcome to AVATAR therapy. There is potential wider utility within clinical trials of other relational therapies as well as routine clinical practice.

Type: Article
Title: The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fpsyt.2023.1192655
Publisher version: https://doi.org/10.3389/fpsyt.2023.1192655
Language: English
Additional information: Copyright © 2023 Edwards, Owrid, Miller, Jafari, Emsley, Rus-Calafell, Craig, Clancy, McLeod, Fornells-Ambrojo, McDonnell, Montague, Huckvale, Bucci, Haddock, Garety and Ward. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: psychosis, voice-hearing, characterisation, phenomenology, auditory hallucination
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10175296
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